In English the state-of-the-art for binary sentiment analysis often reaches nearly 90 percent accuracy [1]}, [2]}, [3]}, but for other languages there is a marked drop in accuracy. This is mainly due to the lack of annotations and resources in these languages. This is especially true of corpora annotated at aspect-level. Unlike document- or tweet-level annotation, aspect-level annotation requires a large amount of effort from the annotators, which further reduces the likelihood of finding an aspect-level sentiment corpus in under-resourced languages. We are, however, aware of one corpus annotated for aspects in German [4]}, although German is not a particularly low-resource language.
